Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights?
Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business problems. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.
You will:
Who you are:
We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.
As a Senior Data Engineer, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.
We are actively seeking candidates for full-time, remote work within Colombia. Medellin-based applicants will have the opportunity to work in our office in Medellin, COL.
Applicants must submit an English resume with their application to be considered for this opportunity.
Design and support scalable data solutions for a Manufacturing BI team, building pipelines, integrations, data models, and Power BI reporting while ensuring reliable performance and data quality.
Build and validate transformed data for stakeholder needs, develop dbt models, manage Airflow workflows, and guide analysis while mentoring data engineers and supporting data exploration tools.
Build and validate transformed data, develop and manage data pipelines, and deliver accurate analysis and recommendations while partnering with stakeholders and mentoring data engineering colleagues.
Build and deploy data integrations and AI-powered workflows, improving data quality and operational efficiency while owning delivery from discovery through production, documentation, and team handoff.
Projeta, implementa e mantém pipelines de dados escaláveis na AWS, garantindo qualidade, integridade e segurança, otimizando processos de ETL e colaborando com equipes de dados, engenharia e negócios.
